Instructions to use Seonguk/textSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seonguk/textSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Seonguk/textSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("Seonguk/textSummarization") - Notebooks
- Google Colab
- Kaggle
Delete pytorch_model.bin
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d8e9605aeafa3956c33ea0846f8c5d2442bc80a3ed8317aeba57855ebae77dff
|
| 3 |
-
size 495659219
|
|
|
|
|
|
|
|
|
|
|
|